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AptaArkana
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indonesian_bert_base_NER_indoNLU

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Files changed (5) hide show
  1. README.md +17 -17
  2. config.json +8 -8
  3. model.safetensors +1 -1
  4. runs/Feb16_01-36-13_32006b3fae44/events.out.tfevents.1708047374.32006b3fae44.154.5 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -25,16 +25,16 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.8400335008375209
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  - name: Recall
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  type: recall
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- value: 0.8631669535283993
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  - name: F1
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  type: f1
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- value: 0.8514431239388794
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  - name: Accuracy
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  type: accuracy
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- value: 0.949652118912081
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indonlu_nergrit dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2914
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- - Precision: 0.8400
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- - Recall: 0.8632
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- - F1: 0.8514
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- - Accuracy: 0.9497
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  ## Model description
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@@ -79,14 +79,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 209 | 0.2655 | 0.8163 | 0.8718 | 0.8431 | 0.9424 |
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- | No log | 2.0 | 418 | 0.2315 | 0.8146 | 0.8546 | 0.8341 | 0.9486 |
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- | 0.04 | 3.0 | 627 | 0.2466 | 0.8291 | 0.8640 | 0.8462 | 0.9470 |
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- | 0.04 | 4.0 | 836 | 0.2412 | 0.8322 | 0.8623 | 0.8470 | 0.9503 |
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- | 0.03 | 5.0 | 1045 | 0.2636 | 0.8386 | 0.8898 | 0.8635 | 0.9521 |
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- | 0.03 | 6.0 | 1254 | 0.2830 | 0.8399 | 0.8623 | 0.8510 | 0.9497 |
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- | 0.03 | 7.0 | 1463 | 0.2848 | 0.8376 | 0.8657 | 0.8515 | 0.9500 |
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- | 0.013 | 8.0 | 1672 | 0.2914 | 0.8400 | 0.8632 | 0.8514 | 0.9497 |
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  ### Framework versions
 
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  metrics:
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  - name: Precision
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  type: precision
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+ value: 0.7905982905982906
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  - name: Recall
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  type: recall
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+ value: 0.8383685800604229
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  - name: F1
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  type: f1
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+ value: 0.8137829912023461
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9516761543327008
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indonlu_nergrit dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2235
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+ - Precision: 0.7906
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+ - Recall: 0.8384
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+ - F1: 0.8138
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+ - Accuracy: 0.9517
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 209 | 0.1750 | 0.7418 | 0.8157 | 0.7770 | 0.9469 |
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+ | No log | 2.0 | 418 | 0.1590 | 0.7677 | 0.8338 | 0.7994 | 0.9491 |
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+ | 0.2398 | 3.0 | 627 | 0.1720 | 0.7817 | 0.8112 | 0.7961 | 0.9476 |
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+ | 0.2398 | 4.0 | 836 | 0.1812 | 0.7948 | 0.8248 | 0.8095 | 0.9510 |
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+ | 0.0753 | 5.0 | 1045 | 0.1934 | 0.7872 | 0.8384 | 0.8120 | 0.9545 |
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+ | 0.0753 | 6.0 | 1254 | 0.2178 | 0.7805 | 0.8323 | 0.8056 | 0.9497 |
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+ | 0.0753 | 7.0 | 1463 | 0.2199 | 0.7943 | 0.8459 | 0.8193 | 0.9522 |
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+ | 0.0374 | 8.0 | 1672 | 0.2235 | 0.7906 | 0.8384 | 0.8138 | 0.9517 |
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  ### Framework versions
config.json CHANGED
@@ -12,22 +12,22 @@
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  "hidden_size": 768,
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  "id2label": {
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- "2": "B-PERSON",
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  "3": "B-ORGANISATION",
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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  "B-ORGANISATION": 3,
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- "B-PLACE": 6,
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  "layer_norm_eps": 1e-12,
 
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  "hidden_size": 768,
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  "id2label": {
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  "0": "O",
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+ "1": "B-PERSON",
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  "3": "B-ORGANISATION",
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  "4": "I-ORGANISATION",
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+ "5": "B-PLACE",
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+ "6": "I-PLACE"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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  "B-ORGANISATION": 3,
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+ "B-PERSON": 1,
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  "I-ORGANISATION": 4,
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+ "I-PERSON": 2,
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+ "I-PLACE": 6,
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  "O": 0
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  },
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  "layer_norm_eps": 1e-12,
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